---
license: apache-2.0
base_model_relation: finetune
language:
- fa
base_model: artindnr/ChatBerry-1.1
tags:
- persian
- farsi
- poetry
- poem-generation
- gpt-oss
- lora
- chatberry
- sarv
- mixture-of-experts
- mxfp4
- text-generation
- pytorch
- jax
- tf
pipeline_tag: text-generation
---

# 🌲Sarv-Non-Reasoning
![https://img.magnific.com/free-vector/seamless-hilly-forest-landscape-vector-background-illustration-horizontally-repeatable_8130-3130.jpg?semt=ais_test_b&w=740&q=80](https://img.magnific.com/free-vector/seamless-hilly-forest-landscape-vector-background-illustration-horizontally-repeatable_8130-3130.jpg?semt=ais_test_b&w=740&q=80)

**سرو** (Sarv, "cypress tree") — a poem-generation specialist fine-tuned on top of [ChatBerry-1.1](https://huggingface.co/artindnr/chatberry-1.1), tuned specifically to produce Persian poetry directly, without chain-of-thought.

## Model Description

Sarv-Non-Reasoning is the direct-generation member of the Sarv family. It inherits ChatBerry-1.1's suppressed-CoT chat behavior (single `final`-channel output, no exposed `analysis` channel) and is further specialized on poem-generation data so that a request for a ghazal, robaiyat, or free-verse poem is answered with the poem itself — no reasoning trace, no scaffolding, no commentary unless asked.

This model is intended for users who want fast, low-latency poem generation and don't need to inspect or steer the model's reasoning process.

- **Base model:** [artindnr/chatberry-1.1](https://huggingface.co/artindnr/chatberry-1.1) (itself built on Strawberry-1, `gpt_oss` 21B, MXFP4)
- **Fine-tuning method:** LoRA, merged into base weights for release
- **Reasoning behavior:** disabled — model emits only the `final` channel
- **Specialization:** Persian poem generation (classical + free forms)
- **Language:** Persian (fa)


## Training Procedure

Single-stage supervised fine-tuning via LoRA on the ChatBerry-1.1 checkpoint, with training examples formatted so the assistant turn contains only the poem (Harmony `final` channel), reinforcing the non-reasoning behavior already present in ChatBerry-1.1 while narrowing the output distribution toward well-formed Persian verse (meter-aware ghazal/robai structure, appropriate radif/qafiyeh where applicable).

Adapters were merged post-training and exported in BF16 and MXFP4 formats, consistent with the rest of the ChatBerry/Strawberry release pattern.

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "artindnr/sarv-non-reasoning"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")

messages = [
    {"role": "user", "content": "یک غزل درباره‌ی جدایی بنویس"}
]

inputs = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True, return_tensors="pt"
).to(model.device)

outputs = model.generate(inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0][inputs.shape[-1]:], skip_special_tokens=True))
```

Because reasoning is suppressed, no `analysis` channel content is produced — the full generation is the poem itself, so no channel-parsing/stripping step is needed downstream.

## Intended Use

- Direct Persian poem generation (ghazal, robai, free verse) from a prompt or theme
- Low-latency creative writing assistants, chatbots, Telegram bots
- Not intended for tasks requiring visible reasoning, step-by-step critique, or poem *analysis* — see `sarv-reasoning` for that

## Limitations

- No exposed reasoning trace; if you need to audit *why* a poem was structured a certain way, use `sarv-reasoning` or `sarv-hybrid` instead
- Inherits any biases/limitations present in ChatBerry-1.1 and the underlying Strawberry-1 base
- Classical meter (aruz) adherence is best-effort, not guaranteed exact

## License

Apache 2.0, consistent with the base `gpt_oss` license chain.

## Citation

If you use this model, please cite the Sarv, ChatBerry, and Strawberry-1 model cards on Hugging Face (`artindnr`).